19 papers · ranked by Valyu relevance
Lyes Khacef, P. Klein, Matteo Cartiglia, Arianna Rubino + 2 more
'Giacomo Indiveri' 'Elisabetta Chicca'] Abstract. Understanding how biological neural networks carry out learning using spike-based local plasticity mechanisms can lead to the development of powerful, energy-efficient, and adaptive neuromorphic processing systems. A large number of spike-based learning models have…
Botond Tyukodi, Armand Barbot, Reinaldo Garciá-Garciá, Matthias Lerbinger + 2 more
'Matthias Lerbinger' 'Sylvain Patinet' 'Damien Vandembroucq'] The coarse-graining of amorphous plasticity from the atomistic to the mesoscopic scale is studied in the framework of a simple scalar elasto-plastic model. Building on recent results obtained on the atomistic scale, we discuss the interest in a disordered…
Jintao Gu, Sukbin Lim, Abigail Morrison
Working memory is a core component of critical cognitive functions such as planning and decision-making. Persistent activity that lasts long after the stimulus offset has been considered a neural substrate for working memory. Attractor dynamics based on network interactions can successfully reproduce such persistent…
Ferrand Romain, Baronig Maximilian, Unger Florian, Legenstein Robert
Synaptic plasticity is essential for memory formation and learning in the brain. In addition, recent results indicate that non-synaptic plasticity processes such as the regulation of neural membrane properties contribute to memory formation, its functional role in memory and learning has however remained elusive. Here…
Dénes Berta, Gábor Péterffy, Péter Dusán Ispánovity
Irreversible deformation of crystals is often characterized by stochastic scale-free distributed intermittent local plastic bursts. Quenched obstacles with short-range interaction were found to limit the size of these events, that was termed as transition from wild to mild fluctuations. Here we show by analysing the…
Xiao Li, Xue Wang, Xiaohan Hu, Peng Tang + 11 more
'Mengying Chen' 'Stephen Temitayo Bello' 'Tao Chen' 'Xiaoyu Wang' 'Yin Ting Wong' 'Wenjian Sun' 'Xi Chen' 'Jianan Qu' 'Jufang He'] High-frequency stimulation (HFS)-induced long-term potentiation (LTP) is generally regarded as a homosynaptic Hebbian-type LTP, where synaptic changes are thought to occur at the synapses…
Jill M. Syrotchen, Kathleen G. Ferris
Organisms can adapt to environmental heterogeneity through two mechanisms: (1) constitutive expression of population genetic variation or (2) phenotypic plasticity. We investigated whether patterns of plastic and constitutively expressed traits along elevational and latitudinal clines in a North American endemic plant…
Yan-Wei Li, Yugui Yao, Massimo Pica Ciamarra
We demonstrate, via numerical simulations, that the relaxation dynamics of supercooled liquids correlates well with a plastic length scale measuring a particle's response to impulsive localized perturbations and weakly to measures of local elasticity. We find that the particle averaged plastic length scale vanishes…
Martin Eriksson, Alexandra Kinnby, Pierre De Wit, Marina Rafajlović
Adaptive phenotypic plasticity may improve the response of individuals when faced with new environmental conditions. Typically, empirical evidence for plasticity is based on phenotypic reaction norms obtained in reciprocal transplant experiments. In such experiments, individuals from their native environment are…
Laure Olazcuaga, Julien Foucaud, Candice Deschamps, Anne Loiseau + 8 more
Both local adaptation and adaptive phenotypic plasticity can influence the match between phenotypic traits and local environmental conditions. Theory predicts that environments stable for multiple generations promote local adaptation, while highly heterogeneous environments favor adaptive phenotypic plasticity.…
Elena Regele-Blasco, Lucy M. Palmer
Neurons are plastic. That is, they change their activity according to different behavioural conditions. This endows pyramidal neurons with an incredible computational power for the integration and processing of synaptic inputs. Plasticity can be investigated at different levels of investigation within a single neuron…
Kensuke Yoshida, Taro Toyoizumi
Slow waves during the non-rapid eye movement (NREM) sleep reflect the alternating up and down states of cortical neurons; global and local slow waves promote memory consolidation and forgetting, respectively. Furthermore, distinct spike-timing-dependent plasticity (STDP) operates in these up and down states. The…
Hongyi Xiao, Ge Zhang, Entao Yang, Robert Ivancic + 4 more
'Robert A. Riggleman' 'D. J. Durian' 'Andrea J. Liu'] All solids yield under sufficiently high mechanical loads. Below yield, the mechanical responses of all disordered solids are nearly alike, but above yield every different disordered solid responds in its own way. Brittle systems can shatter without warning, like…
Hannah M Schneider
There is a wide range of terminology used to describe phenotypic plasticity. The literature contains several definitions of plasticity, which centre around the key theme of phenotypic responses of an organism associated with different environments (; ; ). However, the concept of plasticity is deceptively simple. The…
Kensuke Yoshida, Taro Toyoizumi, Stephen Fleming
Slow waves during the non-rapid eye movement (NREM) sleep reflect the alternating up and down states of cortical neurons; global and local slow waves promote memory consolidation and forgetting, respectively. Furthermore, distinct spike-timing-dependent plasticity (STDP) operates in these up and down states. The…
Laure Olazcuaga, Julien Foucaud, Candice Deschamps, Anne Loiseau + 8 more
'Jean‐Loup Claret' 'Romain Vedovato' 'Robin Guilhot' 'Cyril Sévely' 'Mathieu Gautier' 'Ruth A. Hufbauer' 'Nicolas O. Rode' 'Arnaud Estoup'] Title: Abstract Both local adaptation and adaptive phenotypic plasticity can influence the match between phenotypic traits and local environmental conditions. Theory predicts that…
Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, Louis Kirsch + 2 more
'S. Pardis Hajiseyedrazi' 'Jason K. Eshraghian'] Artificial neural networks (ANNs) have emerged as an essential tool in machine learning, achieving remarkable success across diverse domains, including image and speech generation, game playing, and robotics. However, there exist fundamental differences between ANNs'…
Authors not listed
A novel approach to selectively modify narrow sub-areas of metallic nanostructures adjacent to plasmonic hotspots, where strong electromagnetic field amplification occurs upon localized surface plasmon (LSP) excitation, is reported. In contrast to plasmon-driven polymerization, it relies on plasmonically enhanced…
Authors not listed
This work aims to elucidate the influence of filler particle size on the rheological behaviour, as well as the micro- and macromechanical properties, of polymer-ceramic composites. For this investigation, two widely utilised biodegradable polymers, polylactide (PLA) and polycaprolactone (PCL), were selected as the…